代做CCC8015 Generative Artificial Intelligence Assignment-1代做Python程序

CCC8015 Generative Artificial Intelligence

Assignment-1

Due: 23:59 Wednesday 16 Oct 2024

Important notes

● Point  Allocation: This assignment carries a total of 100 points, which will be awarded

based on the criteria outlined in the grading rubric. It accounts for 10% of your final score.

●   Use of Visual Aids: You are encouraged to enhance your report with diagrams or charts where appropriate. Visual aids should be used to complement and clarify the concepts discussed in your text.

●   Citation Requirement: If you refer to or incorporate external information, proper citation is  mandatory.  This  includes  any  direct  quotes,  paraphrased  information,  or  data  and statistics you include in your report.

●   Generative AI Use: The use of generative AI tools is permitted and even encouraged to assist  with  the  creation  of  your  report.  However,  it  is  imperative  that  any  content generated by AI is clearly indicated as such in your submission. This transparency is necessary  to  maintain  academic  honesty  and  will  be  taken  into  consideration  during grading.

●   Grading Rubric: Assignments will be evaluated based on a clear demonstration of subject mastery, critical thinking and originality, logical organization, writing quality, effective

use of visual aids and references, and adherence to assignment guidelines.

Deliverable

Assignment Deliverable:

The  assignment  should  not  exceed   1500   words   (excluding  questions,  appendix,  and references). Please upload your assignment in PDF format.

Question 1: [25 points]: Chatbots in Customer Service: Benefits and Drawbacks

In  today's  rapidly  evolving  digital  realm,  businesses are continuously  seeking innovative methods to deliver efficient and personalized support to their clientele.

Chatbots have become increasingly embraced by a wide array of companies, ranging from large corporations to agile startups across various sectors. These intelligent virtual assistants offer a multitude of benefits, such as 24/7 availability, rapid response times, and consistent customer interactions.

Your task is to delve into how companies utilize chatbots for customer service, highlighting the advantages of leveraging chatbots for customer support through a detailed example and discussing some potential limitations or drawbacks.

Your response:

Question 2: [25 points]: Comparative Analysis of Intelligence Forms

Intelligence,   as   a   multifaceted   concept,   manifests   in   various   forms,  notably  human intelligence,  artificial  intelligence  (AI),  and  collective  intelligence.  Human  intelligence, traditionally   measured    by   IQ,    encompasses    cognitive   functions    such   as   memory, problem-solving,   and   learning.   Artificial   intelligence,   on   the   other   hand,   refers   to machine-based systems that can perform. tasks typically requiring human intelligence, such as recognizing speech, making decisions, and translating languages. Collective intelligence is the shared or group intelligence that emerges from collaboration and collective efforts of many individuals and can be facilitated by technology.

Discuss   the   commonalities   and    differences   between    human    intelligence,   artificial intelligence,  and  collective  intelligence.  In  your  discussion,  consider  aspects  such  as adaptability, learning processes, and the capacity for innovation.

Your response:

Question 3: [25 points]: Ethical Issues of AI Hiring

Over  the  last  decade,  artificial  intelligence  (AI)  has  transformed  numerous  industries, including  recruitment.  AI tools  in recruiting have emerged as a significant advancement, offering  to  streamline  and  improve  the  hiring  process.  These  tools  utilize  sophisticated algorithms and data analysis to automate tasks like resume screening, candidate sourcing, and initial interviews. A major advantage of AI recruiting tools lies in their capacity to swiftly and accurately analyze extensive data sets.

Traditional  recruitment  methods  often  struggle  to  effectively  manage  large  volumes  of applications, causing delays in hiring. AI tools, on the other hand, enable recruiters to quickly review thousands of resumes in a fraction of the time it would take a human recruiter. This not only saves time but also ensures comprehensive candidate evaluation.

The  integration  of  Artificial  Intelligence  (AI)  in  Human  Resources  (HR)  practices  has transformed  how  organizations  handle  their  workforce,  covering  recruitment,  employee engagement,  and  performance   assessments.  Although  AI  has  become  essential  in  HR functions, ethical concerns have surfaced.

Your  task  is  to  explore  potential  ethical  issues  in  machine-based  hiring  across  various dimensions, including Transparency, Fairness, and Accountability. While focusing on these three aspects, consider other relevant dimensions as well.

Your response:

Question 4: [25 points]: Decision Making: Supervised vs Unsupervised learning

Call of Duty: Mobile (CODM), launched in 2019, quickly became a popular choice among mobile  games,  offering  a  classic  Call of Duty experience with high-quality graphics and diverse  game  modes.  CODM  has  achieved  substantial  success,  with  over   100  million downloads and strong player reviews. As a major revenue generator through in-app purchases and a draw for millions of daily players, CODM significantly contributes to Activision’s growth in the mobile gaming sector. Regular updates keep the game engaging, ensuring its status as a leader in mobile gaming.

Imagine you are a data analyst for Call of Duty. You are asked to classify or delineate distinct player profiles.

By analyzing the behavioral patterns and characteristics of various players, you successfully identified five distinct groups within the player base, including Casual Players, Relatively Active Players, Normal Mode Core Players, and PVP Rank Core Players. It is important to know that these groups are not predefined classes.

Which learning approach have you chosen: Supervised learning or Unsupervised learning? To begin, you should discuss the differences between these two methods.

It is crucial to carefully analyze the data structure before making a decision. It is important to note that all data is raw, and there has been no preprocessing such as assigning meaningful and relevant tags or categories to the input data instances in this work.

Your response: